Complete Guide to yaml with python - Configure your project!

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‪Idan Chen‬‏

1:18:15

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1. Introduction

1. Welcome and Course Overview.mp4

03:14

2. Why YAML And its role in configuration.mp4

04:17

3. YAML in the Python Ecosystem.mp4

04:22

4. Pre-requisites and Course Setup (Python, pip, pyyaml etc.).mp4

04:33

5. Pre-requisites (Article).html

2. YAML Basics

1. Understanding YAML Syntax.mp4

03:09

2. YAML Syntax.html

3. Working with Scalars (Strings, Numbers, Booleans).mp4

02:42

4. Sequences and Mappings in YAML.mp4

02:29

5. Advanced YAML Types Anchors, Aliases, and Tags.mp4

03:51

3. Python and YAML

1. Introduction to PyYAML.mp4

02:07

2. Parsing YAML Files with Python.mp4

02:55

3.1 config.zip

3.2 main.zip

3. Parsing YAML Files with Python - Code.mp4

03:38

4. Handling Errors and Exceptions with PyYAML.mp4

03:05

5.1 config.zip

5.2 main.zip

5. Handling Errors and Exceptions with PyYAML - code.mp4

04:10

6.1 config.zip

6.2 main.zip

6. Creating a Configuration Class in Python.mp4

11:11

4. Advanced Configuration Techniques

1. Encrypting Sensitive Configuration Data.mp4

05:02

2. Encrypting Sensitive Configuration Data - article.html

3. Handling Configuration Changes and Versioning.mp4

04:52

5. Testing our configuration

1. Why is Testing Important.mp4

04:00

2. Unit Testing Your Configuration.mp4

03:19

3.1 config.zip

3.2 main.zip

3. Unit Testing Your Configuration - Code.mp4

03:05

6. Conclusion

1. Additional Resources for Learning.html

2. Course Recap and Farewell.mp4

02:14

Description

Mastering YAML Configuration with Python: Unleash Your Project's Potential

What You'll Learn?

Understand YAML syntax, including scalar types, sequences, mappings, and indentation rules.
Use the PyYAML library to load, parse, and manipulate YAML files in Python.
Create YAML files programmatically, representing scalar values, lists, dictionaries, and nested structures.
Organize project configurations in YAML files and handle different environments.
Explore advanced YAML concepts such as tags, custom parsing, multiline strings, and including external files.
Handle YAML parsing errors and validate data structures using schemas.
Compare and choose between popular YAML libraries in Python.
Integrate YAML with Python frameworks like Django and Flask for configuration.
Serialize Python objects to YAML and deserialize YAML into Python objects.
Study real-world projects, learn best practices for structuring YAML files, and optimize YAML usage.

Who is this for?

Python Developers: This course is ideal for Python developers who want to enhance their skills in project configuration using YAML. It is suitable for developers at various skill levels, from beginners to experienced professionals, who want to leverage YAML for managing their Python projects.

Software Engineers: Software engineers working with Python and involved in project configuration will find value in this course. It provides them with the knowledge and practical skills to effectively use YAML for configuring and managing software projects.

DevOps Engineers: DevOps engineers responsible for managing and configuring projects will benefit from this course. It equips them with the necessary YAML skills to create and maintain configuration files, handle different environments, and integrate YAML into their automation and deployment workflows.

System Administrators: System administrators who work with Python-based systems and need to configure and manage project settings will find this course valuable. It covers the essentials of using YAML for project configuration, allowing administrators to streamline their configuration processes.

Technical Project Managers: Technical project managers who oversee Python projects and need to understand how configuration is managed will benefit from this course. It provides them with the knowledge to effectively communicate with developers and make informed decisions regarding project configuration.

Python Enthusiasts: Even individuals who are not professional developers or engineers but have a keen interest in Python and project configuration can take this course. It provides them with a comprehensive understanding of YAML and its integration with Python, allowing them to configure and manage their own personal projects.

What You Need to Know?

Basic Programming Knowledge: Participants should have a basic understanding of programming concepts and be familiar with the Python programming language. Knowledge of variables, data types, functions, and control structures in Python is recommended.

More details

Description
Welcome to "Complete Guide to yaml with python - Configure your project!" Course!

Discover the power of YAML and Python to configure, control, and streamline your projects! This course is designed to take you from beginner to expert, teaching you the skills to elevate your Python projects to the next level.

By taking this course, you'll gain the following:
Fundamental Knowledge: Dive deep into YAML and its critical role in Python configuration, covering basics like syntax and structure.

Practical Skills: Learn how to read and write YAML files in Python, manage configurations, and even create your own configuration class.

Advanced Techniques: Delve into the advanced aspects of YAML configuration, including encrypting sensitive data, validating configuration files, and managing changes and versions.

Testing Know-How: Equip yourself with the skills to test and debug your YAML configuration, ensuring smooth and error-free project execution.

Best Practices: Understand the best practices for using YAML in Python projects, setting you up for long-term success.

Additional Resources: We'll provide you with other learning resources to continue honing your YAML and Python skills after the course.

Whether you're a seasoned developer looking to expand your skillset or a beginner hoping to master the art of Python configuration, this course offers everything you need and more. Empower yourself with valuable, in-demand skills that can help streamline your workflow, enhance project outcomes, and boost your career growth. Join us today and start your journey toward becoming a YAML configuration expert!

Who this course is for:
Python Developers: This course is ideal for Python developers who want to enhance their skills in project configuration using YAML. It is suitable for developers at various skill levels, from beginners to experienced professionals, who want to leverage YAML for managing their Python projects.
Software Engineers: Software engineers working with Python and involved in project configuration will find value in this course. It provides them with the knowledge and practical skills to effectively use YAML for configuring and managing software projects.
DevOps Engineers: DevOps engineers responsible for managing and configuring projects will benefit from this course. It equips them with the necessary YAML skills to create and maintain configuration files, handle different environments, and integrate YAML into their automation and deployment workflows.
System Administrators: System administrators who work with Python-based systems and need to configure and manage project settings will find this course valuable. It covers the essentials of using YAML for project configuration, allowing administrators to streamline their configuration processes.
Technical Project Managers: Technical project managers who oversee Python projects and need to understand how configuration is managed will benefit from this course. It provides them with the knowledge to effectively communicate with developers and make informed decisions regarding project configuration.
Python Enthusiasts: Even individuals who are not professional developers or engineers but have a keen interest in Python and project configuration can take this course. It provides them with a comprehensive understanding of YAML and its integration with Python, allowing them to configure and manage their own personal projects.

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‪Idan Chen‬‏

Instructor's Courses

Hello, I'm Idan Chen, a data scientist, and lead researcher based in Israel. I hold a Bachelor's degree in Computer Science and have gained several years of experience working with data, including over 6 years of expertise using Python. Through my work, I have gained extensive knowledge of both SQL and NoSQL database systems and have a deep understanding of libraries such as Pandas.One of my greatest joys is guiding and teaching others. Over the years, I have had the privilege of helping both individuals and companies to learn more about Python and SQL, providing guidance on concepts and best practices. I am passionate about sharing my knowledge and experience with others and firmly believe that anyone can become a successful data scientist with the right tools and guidance.Whether you're seeking to improve your data analysis skills, gain more knowledge about machine learning, or dive deeper into Python and SQL, I am here to help. As an instructor at Udemy, I am committed to providing students with the necessary tools to achieve their goals and succeed. I am thrilled to share my expertise with you and help you reach your full potential in the field of data science.

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